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(Finals) Quantitative Methods Mocktest BSIT 402
18問 • 7ヶ月前
  • Xai Alexandrei Delos Reyes
  • 通報

    問題一覧

  • 1

    It is the most popular and useful continuous probability distribution for a random variable, x.

    Normal distribution (aka Gaussian distribution)

  • 2

    The graph of a normal distribution is called the _________.

    Normal curve

  • 3

    It determines the location of the center of the graph, thus, changing its values will shift the average or center of the normal distribution. The overall shape of the distribution remains the same.

    The mean of the distribution (µ)

  • 4

    determines the height and width of the graph, hence, differing its values will either flattens out the normal curve or the normal curve becomes steeper.

    The standard deviation of the distribution (δ)

  • 5

    What does X represent in this formula?

    the value of any particular observation or measurement

  • 6

    What does μ represent in this formula?

    the mean of the distribution

  • 7

    What does the δ represent in this formula?

    standard deviation of the distribution

  • 8

    is a continuous distribution in which the same height, of the function, is obtained over a range of values

    Uniform distribution (aka Rectangular probability distribution)

  • 9

    What does "a" stand for in this formula?

    the smallest value the variable can accept

  • 10

    What does "b" stand for in this formula?

    the largest value the variable can accept

  • 11

    What does "μ" stand for in this formula?

    the mean of the distribution

  • 12

    What is m "δ" in this formula?

    standard deviation of the distribution

  • 13

    It is a continuous distribution often used to measure the time that elapses between two occurrences of an event (the time between arrivals).

    Exponential distribution (aka negative exponential distribution)

  • 14

    what does "x" represent in this formula

    time

  • 15

    what does "e" represent in this formula

    2.718 (the base of natural logarithms)

  • 16

    If 𝑃 (𝑋 > 𝑥), what formula should be used

    = 𝑒−𝜇𝑥

  • 17

    If 𝑃 (𝑋 < 𝑥), what formula should be used

    = 1 − 𝑒−𝜇𝑥

  • 18

    If 𝑃 (𝑥1 < 𝑋 < 𝑥2) , what formula should be used

    =𝑃 (𝑋 < 𝑥2) − 𝑃 (𝑋 < 𝑥1) = 𝑒−𝜇𝑥1 − 𝑒−𝜇𝑥2

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    問題一覧

  • 1

    It is the most popular and useful continuous probability distribution for a random variable, x.

    Normal distribution (aka Gaussian distribution)

  • 2

    The graph of a normal distribution is called the _________.

    Normal curve

  • 3

    It determines the location of the center of the graph, thus, changing its values will shift the average or center of the normal distribution. The overall shape of the distribution remains the same.

    The mean of the distribution (µ)

  • 4

    determines the height and width of the graph, hence, differing its values will either flattens out the normal curve or the normal curve becomes steeper.

    The standard deviation of the distribution (δ)

  • 5

    What does X represent in this formula?

    the value of any particular observation or measurement

  • 6

    What does μ represent in this formula?

    the mean of the distribution

  • 7

    What does the δ represent in this formula?

    standard deviation of the distribution

  • 8

    is a continuous distribution in which the same height, of the function, is obtained over a range of values

    Uniform distribution (aka Rectangular probability distribution)

  • 9

    What does "a" stand for in this formula?

    the smallest value the variable can accept

  • 10

    What does "b" stand for in this formula?

    the largest value the variable can accept

  • 11

    What does "μ" stand for in this formula?

    the mean of the distribution

  • 12

    What is m "δ" in this formula?

    standard deviation of the distribution

  • 13

    It is a continuous distribution often used to measure the time that elapses between two occurrences of an event (the time between arrivals).

    Exponential distribution (aka negative exponential distribution)

  • 14

    what does "x" represent in this formula

    time

  • 15

    what does "e" represent in this formula

    2.718 (the base of natural logarithms)

  • 16

    If 𝑃 (𝑋 > 𝑥), what formula should be used

    = 𝑒−𝜇𝑥

  • 17

    If 𝑃 (𝑋 < 𝑥), what formula should be used

    = 1 − 𝑒−𝜇𝑥

  • 18

    If 𝑃 (𝑥1 < 𝑋 < 𝑥2) , what formula should be used

    =𝑃 (𝑋 < 𝑥2) − 𝑃 (𝑋 < 𝑥1) = 𝑒−𝜇𝑥1 − 𝑒−𝜇𝑥2